activity
20182022
most citedMultiple membership multilevel models

11 citations · 38 across the 14 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

stat.AP2019★ 4 cited

The implications of Labour's plan to scrap Key Stage 2 tests for Progress 8 and secondary school accountability in England

George Leckie, Lucy Prior, Harvey Goldstein

In England, Progress 8 is the Conservative government's headline secondary school performance and accountability measure. Progress 8 attempts to measure the average academic progre…

stat.ME2019★ 5 cited

Variance partitioning in multilevel models for count data

George Leckie, William Browne, Harvey Goldstein +2

A first step when fitting multilevel models to continuous responses is to explore the degree of clustering in the data. Researchers fit variance-component models and then report th…

stat.AP2019★ 1 cited

Methods and Software for the Multilevel Social Relations Model: A Tutorial

Jeremy Koster, George Leckie, Brandy Aven +1

This tutorial demonstrates the estimation and interpretation of the Multilevel Social Relations Model for dyadic data. The Social Relations Model is appropriate for data structures…

stat.ME2019

Multilevel models for continuous outcomes

George Leckie

Multilevel models (mixed-effect models or hierarchical linear models) are now a standard approach to analysing clustered and longitudinal data in the social, behavioural and medica…

stat.ME2019★ 11 cited

Multiple membership multilevel models

George Leckie

Multiple membership multilevel models are an extension of standard multilevel models for non-hierarchical data that have multiple membership structures. Traditional multilevel mode…

stat.ME2019★ 3 cited

Cross-classified multilevel models

George Leckie

Cross-classified multilevel modelling is an extension of standard multilevel modelling for non-hierarchical data that have cross-classified structures. Traditional multilevel model…